Machine Learning Based Fiber Nonlinear Noise Monitoring for Subcarrier-Multiplexing Systems

We propose a set of correlation features for machine learning based fiber nonlinear noise monitoring in subcarrier-multiplexing systems. Improved accuracy is demonstrated by adding correlations between subcarriers and data fusion processing across subcarriers.